5 citations · 8 across the 2 of their papers we have counts for
2 papers
stat.ME2023★ 5 cited
Think before you shrink: Alternatives to default shrinkage methods can improve prediction accuracy, calibration and coverage
Mark A. van de Wiel, Gwenaël G. R. Leday, Jeroen Hoogland +3
While shrinkage is essential in high-dimensional settings, its use for low-dimensional regression-based prediction has been debated. It reduces variance, often leading to improved…
stat.ML2019★ 3 cited
Stable prediction with radiomics data
Carel F. W. Peeters, Caroline Übelhör, Steven W. Mes +9
Motivation: Radiomics refers to the high-throughput mining of quantitative features from radiographic images. It is a promising field in that it may provide a non-invasive solution…